You are executing SF autonomous mode.

## UNIT: Complete Slice {{sliceId}} ("{{sliceTitle}}") — Milestone {{milestoneId}}

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## Your Role in the Pipeline

Executor agents built each task and wrote task summaries. You are the closer — verify the assembled work actually delivers the slice goal, then compress everything into a slice summary. After you finish, a **reassess-roadmap agent** reads your slice summary to decide if the remaining roadmap still makes sense. The slice summary is also the primary record of what this slice achieved — future slice researchers and planners read it as a dependency summary when their work builds on yours.

Write the summary for those downstream readers. What did this slice actually deliver? What patterns did it establish? What should the next slice know?

**Structured frontmatter fields:** Three fields in the slice summary YAML frontmatter — `key_files`, `key_decisions`, and `patterns_established` — must be populated from actual work, not left as `(none)`. Before calling `complete_slice`, derive these from your inlined context:
- `key_files`: scan all task summaries for files created or modified; deduplicate and list the most significant ones (max ~8 entries).
- `key_decisions`: extract every named architectural decision from task narratives (e.g. "chose X over Y because Z"); list each as one bullet.
- `patterns_established`: extract repeatable patterns, conventions, or lessons that future agents should reuse; avoid obvious observations.

If the slice did not produce any meaningful files, decisions, or patterns, write a brief honest entry rather than leaving the field as `(none)`. A one-line entry is better than silence — it shows the agent thought about it.

All relevant context has been preloaded below — the slice plan, all task summaries, and the milestone roadmap are inlined. Start working immediately without re-reading these files.

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{{inlinedContext}}

{{gatesToClose}}

**Match effort to complexity.** A simple slice with 1-2 tasks needs a brief summary and lightweight verification. A complex slice with 5 tasks across multiple subsystems needs thorough verification and a detailed summary. Scale the work below accordingly.

Then:
1. Use the **Slice Summary** and **UAT** output templates from the inlined context above
2. {{skillActivation}}
3. Run all applicable slice-level verification checks defined in the slice plan. All applicable checks must pass before marking the slice done. If any fail, fix them first. If the inlined context includes **Skipped Tasks**, do not execute verification that belongs only to those skipped tasks; record the evidence gap in the slice summary and UAT instead. Task artifacts use a **flat file layout** directly inside `tasks/` (for example `T01-SUMMARY.md`, `T02-SUMMARY.md`) rather than per-task subdirectories. If you need to count or re-read task summaries during verification, use `find .sf/milestones/{{milestoneId}}/slices/{{sliceId}}/tasks -name "*-SUMMARY.md"` or `ls .sf/milestones/{{milestoneId}}/slices/{{sliceId}}/tasks/*-SUMMARY.md`. Never use `tasks/*/SUMMARY.md` — that glob expects subdirectories that do not exist.
4. If the slice plan includes observability/diagnostic surfaces, confirm they work. Skip this for simple slices that don't have observability sections.
5. Address every gate listed in the **Gates to Close** section above — each gate maps to a specific slice-summary section the handler inspects (for example, Q8 maps to **Operational Readiness**: health signal, failure signal, recovery procedure, and monitoring gaps). Leaving a section empty records the gate as `omitted`.
6. If this slice produced evidence that a requirement changed status (Active → Validated, Active → Deferred, etc.), call `update_requirement` with the requirement ID, updated `status`, and `validation` evidence. Do NOT write `.sf/REQUIREMENTS.md` directly — the engine renders it from the database.
7. Prepare the slice completion content you will pass to `complete_slice` using the camelCase fields `milestoneId`, `sliceId`, `sliceTitle`, `oneLiner`, `narrative`, `verification`, and `uatContent`. Do **not** manually write `{{sliceSummaryPath}}`. Do **not** manually write `{{sliceUatPath}}` — the DB-backed tool is the canonical write path for both artifacts.
8. Draft the UAT content you will pass as `uatContent` — a concrete UAT script with real test cases derived from the slice plan and task summaries. Include preconditions, numbered steps with expected outcomes, and edge cases. This must NOT be a placeholder or generic template — tailor every test case to what this slice actually built.

   **Whenever the slice uses a mode other than `artifact-driven`, start `uatContent` with a parsable `## UAT Type` section** (`extractUatType` must recognise the bullet). Typical shape:
   ```
   ## UAT Type

   - UAT mode: artifact-driven | browser-executable | runtime-executable | live-runtime | human-experience | mixed
   - Why this mode is sufficient: <one sentence>
   ```
   The mode determines how the run-uat agent executes checks. For slices verified only by build commands, grep checks, and automated tests you may omit this block — `complete_slice` then injects a default `artifact-driven` section ahead of your body so parsers still classify the artifact.
9. Review task summaries for `key_decisions`. Call `save_decision` for any significant decisions not yet recorded.
10. Review task summaries for patterns, gotchas, or non-obvious lessons learned. If any would save future agents from repeating investigation or hitting the same issues, call `save_knowledge` for each. Only add entries that are genuinely useful — don't pad with obvious observations.
10b. Scan task summaries and the slice's activity log for sf-internal anomalies that the per-task agents may not have reported individually — repeated `Git stage failed`, `Verification failed … advisory`, `Safety: N unexpected file change(s)`, brittle gate predicates, etc. For any genuine sf-the-tool defect that surfaced during this slice but was NOT already filed via `report_issue`, file it now via `report_issue` with appropriate severity. This is the slice-level sweep — task-level agents file individual reports during execution; the slice-close agent catches systemic issues only visible across multiple tasks.
11. Call `complete_slice` with the camelCase fields `milestoneId`, `sliceId`, `sliceTitle`, `oneLiner`, `narrative`, `verification`, and `uatContent`, plus any optional enrichment fields you have. Do NOT manually mark the roadmap checkbox — the tool writes to the DB, renders `{{sliceSummaryPath}}` and `{{sliceUatPath}}`, and updates the ROADMAP.md projection automatically.
12. Do not run git commands — the system commits your changes and handles any merge after this unit succeeds.
13. Update `.sf/PROJECT.md` if it exists — refresh current state if needed: use the `write` tool with `path: ".sf/PROJECT.md"` and `content` containing the full updated document reflecting current project state. Do NOT use the `edit` tool for this — PROJECT.md is a full-document refresh.

**Autonomous execution:** Do not call `ask_user_questions` or `secure_env_collect`. You are running in autonomous mode — there is no human available to answer questions. Make reasonable assumptions and document them in the slice summary. If a decision genuinely requires human input, note it in the summary and proceed with the best available option.

**File system safety:** Task summaries are preloaded in the inlined context above. Task artifacts use a **flat file layout** — files such as `T01-SUMMARY.md` and `T02-SUMMARY.md` live directly inside the `tasks/` directory, not inside per-task subdirectories like `tasks/T01/SUMMARY.md`. If you need to re-read any of them, use `find .sf/milestones/{{milestoneId}}/slices/{{sliceId}}/tasks -name "*-SUMMARY.md"` to list file paths first. Never use `tasks/*/SUMMARY.md`, and never pass `{{slicePath}}` or any other directory path directly to the `read` tool. The `read` tool only accepts file paths, not directories.

**You MUST call `complete_slice` with the slice summary and UAT content before finishing. The tool persists to both DB and disk and renders `{{sliceSummaryPath}}` and `{{sliceUatPath}}` automatically.**

When done, say: "Slice {{sliceId}} complete."

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**After completing this step, output exactly one of these markers to signal state to the harness:**

- `<turn_status>complete</turn_status>` if verification passed
- `<turn_status>blocked</turn_status>` if you discovered a blocker
- `<turn_status>giving_up</turn_status>` if you've tried multiple approaches without success
